基于LOG-Zernike算子的快速图像测量

图像测量技术,一个很重要的方面就是图像的边缘检测定位,而边缘定位的准确与否又直接影响到测量的精度.常用的检测算法都是像素级的,对测量要求较高的场合无法满足要求.定位速度一直是边缘检测算法的一大瓶颈,本文正是在保证一定精度的前提下,研究了快速图像测量算法,即运用LOG算子先对工件进行快速边缘定位,在此基础上采用zernjke矩法将精度提高到亚像素级.为了得到实际的测量尺寸,应用块规进行了系统标定并进行了一系列测量实验,实验结果表明该方法定位精度接近于Zernike矩法,且算法的运行对间大约在1.5s左右.

Fast image measurement based on LOG-zernike operator

One of the most important aspects in image measurement technology is edge detection and orientation. Most common detection algorithms based on pixel level can not meet higher measuring requirements. This article studied the fast image measuring algorithm and precision as the premise. Edge was oriented using LOG operator firstly, and then the measuring accuracy was improved to the subpixel level by Zernike moment based on pixel level, To obtain the actual measuring dimension, the system was calibrated with gauge block and a series of measuring experiments were carried out. The results show that orientation accuracy with this method is close to Zernike moments, The runtime of this algorithm is about 1.5s.